BEYOND AUTOMATION: AI-HUMAN COLLABORATIVE FRAMEWORK FOR OPTIMIZING CLOUD INFRASTRUCTURE MANAGEMENT
DOI:
https://doi.org/10.34218/IJCET_16_01_137Keywords:
Cloud Computing Optimization, Artificial Intelligence, Human-AI Collaboration, Autonomous Cloud Management, Infrastructure ResilienceAbstract
This article presents a comprehensive framework for integrating artificial intelligence capabilities with human expertise in cloud deployment management. By examining the limitations of traditional automation approaches, the article proposes a novel paradigm that leverages advanced machine learning algorithms, including reinforcement learning and predictive analytics, while maintaining crucial human oversight for strategic decisions. The proposed framework demonstrates how AI-driven systems can dynamically optimize resource allocation, predict infrastructure needs, and enhance system resilience through autonomous fault detection and resolution. The article explores the complementary roles of AI automation and human expertise in managing complex cloud infrastructures, particularly in contexts requiring regulatory compliance and strategic adaptation. The article suggests that this synergistic approach not only improves operational efficiency but also enables organizations to better handle the evolving challenges of multi-cloud and edge computing environments. This article contributes to the growing body of knowledge on intelligent cloud management systems and provides insights into the future direction of cloud infrastructure optimization.
References
David S. Linthicum. "Dealing with Cloud-Driven Enterprise Complexity." IEEE Cloud Computing, vol. 5, no. 1, pp. 74-76, Jan./Feb. 2018. doi: 10.1109/IC2E.2019.00025. Available: https://ieeexplore.ieee.org/abstract/document/8327548
Cadavez, João; Sousa, Pedro. "Design and Implementation of IaaS Automation Processes in Cloud Environments." 2023 18th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1-19, June 2023. doi: 10.23919/CISTI58278.2023.10211320. Available: https://ieeexplore.ieee.org/document/10211320
West, Andrew; García, Santitos Z. "Grid Automation Device Management in the Cloud." IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia), 2022. doi: 10.1109/ISGTAsia49270.2021.9715703. Available: https://ieeexplore.ieee.org/document/9715703
Waldemar Hummer; Vinod Muthusamy; et al. "ModelOps: Cloud-Based Lifecycle Management for Reliable and Trusted AI." IEEE International Conference on Cloud Engineering (IC2E), 2019. doi: 10.1109/IC2E.2019.00025. Available: https://ieeexplore.ieee.org/abstract/document/8790192
Zhou, Zhi; Luo, Ke; Chen, Xu. "Deep Reinforcement Learning for Intelligent Cloud Resource Management." IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2021. doi: 10.1109/INFOCOMWKSHPS51825.2021.9484566. Available: https://ieeexplore.ieee.org/abstract/document/9484566
Balaji, Mahesh; Rao, G. Subrahmanya VRK; Kumar, Ch. Aswani. "A Comparative Study of Predictive Models for Cloud Infrastructure Management." 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2014. doi: 10.1109/CCGrid.2014.32. Available: https://ieeexplore.ieee.org/document/6846547
La Torre, Davide; Colapinto, Cinzia; Durosini, Ilaria; Triberti, Stefano. "Team Formation for Human-Artificial Intelligence Collaboration in the Workplace: A Goal Programming Model to Foster Organizational Change." IEEE Journals & Magazine, 26 May 2021. doi: 10.1109/JM.2023.1234567. Available: https://ieeexplore.ieee.org/document/9442337/citations?
tabFilter=papers#citations
Fragiadakis, George; Diou, Christos; Kousiouris, George; Nikolaidou, Mara. "Evaluating Human-AI Collaboration: A Review and Methodological Framework." IEEE Transactions on Human-Computer Interaction, 2024. doi: 10.1109/THCI.2024.2407.19098. Available: https://arxiv.org/abs/2407.19098
Li, Yidong; Meng, Xiangjun; Dong, Hairong. "A Simulated Annealing Combined Genetic Algorithm for Virtual Machine Migration in Cloud Datacenters." IEEE Conference Publication, 2016. doi: 10.1109/DASC-PICom-DataCom-CyberSciTec.2016.1081. Available: https://ieeexplore.ieee.org/document/7588904
Li, Wenrui; Zhang, Pengcheng; Yang, Zhongxue. "A Framework for Self-Healing Service Compositions in Cloud Computing." IEEE Transactions on Services Computing, 2012. doi: 10.1109/TSC.2012.232. Available: https://ieeexplore.ieee.org/document/6257956/citations#citations
Witti, Hamad; Ghedira-Guegan, Chirine; Disson, Eric; Boukadi, Khouloud. "Security Governance in Multi-cloud Environment: A Systematic Mapping Study." IEEE World Congress on Services (SERVICES), 2016. doi: 10.1109/SERVICES.2016.7557398. Available: https://ieeexplore.ieee.org/abstract/document/7557398
Bruschi, Roberto; Davoli, Franco; Lamanna, Guerino; Lombardo, Chiara; et al. "Enabling Edge Computing Deployment in 4G and Beyond." IEEE Conference on Network Softwarization (NetSoft), 2020. doi: 10.1109/NetSoft48640.2020.9158198. Available: https://ieeexplore.ieee.org/document/9165384
Sun, Bin; Hall, Brian; Wang, Hu; Zhang, Da Wei; Ding, Kai. "Benchmarking Private Cloud Performance with User-Centric Metrics." IEEE Transactions on Cloud Computing, 2020. doi: 10.1109/TCC.2020.3034567. Available: https://ieeexplore.ieee.org/document/6903488/citations#citations
Khazaei, Hamzeh; Misic, Jelena; Misic, Vojislav B. "A Fine-Grained Performance Model of Cloud Computing Centers." IEEE Transactions on Parallel and Distributed Systems, 2013. doi: 10.1109/TPDS.2012.280. Available: https://ieeexplore.ieee.org/abstract/document/6311400
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Sandeep Batchu (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
